JuliaSmoothOptimizers / FletcherPenaltySolver.jl

Fletcher's penalty method for nonlinear optimization models
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CompatHelper: bump compat for StoppingInterface to 0.5, (keep existing compat) #119

Closed github-actions[bot] closed 1 year ago

github-actions[bot] commented 1 year ago

This pull request changes the compat entry for the StoppingInterface package from 0.4 to 0.4, 0.5. This keeps the compat entries for earlier versions.

Note: I have not tested your package with this new compat entry. It is your responsibility to make sure that your package tests pass before you merge this pull request.

codecov[bot] commented 1 year ago

Codecov Report

Base: 85.21% // Head: 85.21% // No change to project coverage :thumbsup:

Coverage data is based on head (dafd1bf) compared to base (524b238). Patch has no changes to coverable lines.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #119 +/- ## ======================================= Coverage 85.21% 85.21% ======================================= Files 7 7 Lines 778 778 ======================================= Hits 663 663 Misses 115 115 ``` | [Impacted Files](https://codecov.io/gh/JuliaSmoothOptimizers/FletcherPenaltySolver.jl/pull/119?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers) | Coverage Δ | | |---|---|---| | [src/parameters.jl](https://codecov.io/gh/JuliaSmoothOptimizers/FletcherPenaltySolver.jl/pull/119/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL3BhcmFtZXRlcnMuamw=) | `98.07% <ø> (ø)` | | Help us with your feedback. Take ten seconds to tell us [how you rate us](https://about.codecov.io/nps?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers). Have a feature suggestion? [Share it here.](https://app.codecov.io/gh/feedback/?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers)

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